Integration

Point your coding agent at a running RavenDB cluster over MCP. Twenty-one read-only tools, one environment variable, and it reads the cluster instead of guessing.

Set up self-hosted Quill to put a conversational AI agent in front of your existing SQL database: run the Docker appliance, connect a database and a model, build the agent, and embed the chat widget.

Use the CDC Sink ongoing task to keep a live copy of PostgreSQL tables in RavenDB as documents, and learn how to reshape normalized rows into well-modeled documents by embedding, linking, or copying fields.

Set up a RavenDB Azure Service Bus Queue Sink that turns incoming Service Bus messages into documents, covering SAS, Entra ID, and passwordless authentication, configured either in the Studio or with the C# client API.

Set up Context7 MCP with OpenAI Codex in VS Code to give your AI direct access to RavenDB docs — faster, context-rich vibe coding with fewer interruptions.

Learn to implement the transactional outbox pattern in C# using RavenDB data subscriptions or Queue ETL, with RabbitMQ and Kafka code examples.

Move operational data out of RavenDB and into an OLAP engine using OLAP ETL, shaping documents into Parquet and shipping them to local storage or Amazon S3 on a schedule you control.

Set up RavenDB's native Elasticsearch ETL to continuously extract, transform, and load your RavenDB collections into Elasticsearch indexes, with no custom pipelines or bespoke integration code.

Push RavenDB document changes onto Azure Queue Storage with an ETL task, then process them serverlessly with an Azure Function.

Build a persistent Akka.NET console app that stores its actor state in RavenDB through event sourcing and snapshots, so it can recover exactly where it left off after a crash or restart.

Automate RavenDB with the Ansible Collection: provision multi-node clusters over SSH, form clusters, and manage databases and indexes with repeatable playbooks.

Connect RavenDB to Datadog by running the Datadog Agent in Docker and enabling OpenTelemetry, then build a CPU usage dashboard and a high-CPU alert.

Enable OpenTelemetry in RavenDB, export its metrics to Grafana Cloud through the OTLP endpoint, and build a CPU usage dashboard in Grafana.

External

Read about Integrating RavenDB with .NET Aspire on the RavenDB.net news section

Connect RavenDB to Power BI through the PostgreSQL protocol integration, then build charts and filter your data with queries during import to visualize your documents.

Set up an ongoing Snowflake ETL task in RavenDB to continuously sync documents to your Snowflake data warehouse, using a worked traffic-sensor IoT example.

Set up an ongoing Amazon SQS ETL task in RavenDB to stream documents into an SQS queue, then process them with an AWS Lambda function that emails speeding-ticket alerts through SES.

Route RavenDB 7.0 server logs to Grafana Cloud by configuring the NLog Loki target, then view and filter them in Grafana Explore.

Step-by-step guide to building a SvelteKit web application backed by RavenDB, covering project setup, document store configuration, CRUD operations with form actions, and streaming query results.

Build a full-stack Next.js app backed by RavenDB using the Node.js client, server actions for mutations, and server components for data fetching.

Use RavenDB as the backend cache for PhpFastCache: install the Composer packages, configure the driver, and inspect cached documents in the RavenDB Studio.

Query RavenDB through GraphQL using Hot Chocolate as a standalone ASP.NET Core server, translating paging, filtering, sorting, and projections into native RavenDB queries.